Makati City Philippines
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Details
Type of contract: Full time
Location(s): Makati City Philippines
Language(s): English
Mobility: N/A
Application Deadline
QUALIFICATION
- Minimum of 3 years of experience in data engineering and analytics, with a strong focus on Microsoft Fabric and Power BI solutions.
- Strong English communication skills, both written and spoken.
- Hands-on experience with the Microsoft technology stack, particularly Power BI, Microsoft Fabric, and relevant Azure services.
- End-to-end experience across the data lifecycle, including data extraction, transformation, modeling, report/semantic model development, governance, and performance optimization.
- Experience working with production-grade Power BI environments, including deployment pipelines, workspace governance, data refresh strategies, and environment best practices.
- Familiarity and/or experience with production environments and deployment frameworks.
- As a person, you possess a keen analytical and problem-solving skill. An advisory approach from consulting is very beneficial and you are driven by your quality mindset to ensure customer success.
Nice to Have
- Experience with Python/PySpark.
- Knowledge of data warehousing concepts, such as the Medallion Architecture.
About NNIT
NNIT is a publicly listed company that specializes in IT solutions to life sciences internationally, and to the public and enterprise sectors in Denmark. We focus on high complexity industries and thrive in environments where regulatory demands and complexity are high. We advise on and build sustainable digital solutions that work for the patients, citizens, employees, end users or customers. NNIT consists of group company NNIT A/S and subsidiaries SCALES, Excellis Health Solutions and SL Controls. Together, these companies employ more than 1,800 people in Europe, Asia, and USA.
We celebrate diversity and are committed to creating an inclusive environment for all employees. All candidates are encouraged to apply for the given job regardless of their gender, age, religious beliefs, sexual orientation, national and social origin, political opinion, disability, race, skin colour, and ethnic origin.
In the interest of fostering a fair and unbiased recruitment process, we kindly request candidates to refrain from including their pictures in their applications.
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